Find out what your peers are saying about Elastic, Luigi's Box, IBM and others in Indexing and Search.
Elasticsearch is a prominent open-source search and analytics engine known for its scalability, reliability, and straightforward management. It's a favored choice among enterprises for real-time data search, analysis, and visualization. Open-source Elasticsearch is free, offering a comprehensive feature set and scalability. It allows full control over deployments but requires managing and maintaining the infrastructure. On the other hand, Elastic Cloud provides a managed service with features like automated provisioning, high availability, security, and global reach.
Elasticsearch excels in handling time-sensitive data and complex search requirements across large datasets. Its scalability allows it to handle growing data volumes efficiently, maintaining high performance and fast response times. Integrated with Kibana, Elasticsearch enables powerful data visualization, providing real-time insights crucial for data-driven decision-making.
Elastic Cloud reduces operational overhead and improves scalability and performance, though it comes with associated costs. It is available on your preferred cloud provider — AWS, Azure, or Google Cloud. Customers who want to manage the software themselves, whether on public, private, or hybrid cloud, can download the Elastic Stack.
At its core, Elasticsearch is renowned for its full-text search capabilities, capable of performing complex queries and supporting features like fuzzy matching and auto-complete.
Peer reviews from various professionals highlight its strengths and weaknesses. Pros include its detection and correlation features, flexibility, cloud-readiness, extensibility, and efficient search capabilities. However, users have noted challenges like steep learning curves, data analysis limitations, and integration complexities. The platform is generally viewed as stable and scalable, with varying degrees of satisfaction regarding its usability and feature set.
In summary, Elasticsearch stands out for its high-speed search, scalability, and versatile analytics, making it a go-to solution for organizations managing large datasets. Its adaptability to different enterprise needs, robust community support, and continuous development keep it at the forefront of enterprise search and analytics solutions. However, potential users should be aware of its learning curve and the need for skilled personnel for optimization.
Seeing the un-seeable can be a challenge for IT. With billions of events to collect and review from a variety of sources, both on premises and in the cloud, it’s difficult to find relevant data and make sense of it. And in the event of a security breach, either internal or external, the ability to locate where the breach originated and what was accessed can make a world of difference.
IT Security Search is a Google-like, IT search engine that enables IT administrators and security teams to quickly respond to security incidents and analyze event forensics. The tool’s web-based interface correlates disparate IT data from many Quest security and compliance solutions into a single console and makes it easier than ever to:
-Reduce the complexity of searching, analyzing and maintaining critical IT data scattered across information silos
-Speed security investigations and compliance audits with complete real-time visibility
-Troubleshoot widespread issues should an outage or security breach occur
-Configure role-based access, enabling auditors, help desk staff, IT managers and other stakeholders to get exactly the reports they need and nothing more
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